Exploring DataFrames with Pokemon data
Exploring DataFrames with Pokemon data Data Science Project
Intro to Pandas for Data Analysis

Exploring DataFrames with Pokemon data

In this project we'll start exploring DataFrames by analyzing Pokemon Data. Your job will be to understand the shape and underlying structure of the data by using DataFrames. We'll perform some statistical and structural analysis.
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Project Activities

All our Data Science projects include bite-sized activities to test your knowledge and practice in an environment with constant feedback.

All our activities include solutions with explanations on how they work and why we chose them.

input

How many rows has our DataFrame?

How many total rows do we have in df?

multiplechoice

What's the type of index of our DataFrame?

input

How many columns does our DataFrame have?

multiplechoice

What's the *shape* of our DataFrame?

multiplechoice

What's the type of the column `Name`?

Activity description...

multiplechoice

Which of the following columns are of a numeric type?

Mark the ones that are of some numeric type (int, float, etc).

codevalidated

Select the column `Defense`

Select the column defense and store it in the variable defense_col.

multiplechoice

What's the type of the variable `defense_col`?

What's the type of the variable in which you've selected the column Defense?

input

What's the maximum value of Attack?

Insert the whole number, without decimals

input

What's the average value for `Speed`?

Insert the answer up to 2 decimals. Example, if the value is 84.813799 insert just 84.81.

Exploring DataFrames with Pokemon dataExploring DataFrames with Pokemon data
Author

Santiago Basulto

This project is part of

Intro to Pandas for Data Analysis

Explore Skill Track
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